Fault diagnosis of rolling element bearing based on ensemble empirical mode decomposition and cross energy operator

被引:0
|
作者
School of Mechanical Engineering, University of Science and Technology Beijing, Beijing [1 ]
100083, China
机构
来源
关键词
D O I
10.13374/j.issn2095-9389.2015.s1.011
中图分类号
学科分类号
摘要
15
引用
收藏
相关论文
共 50 条
  • [21] Noise Eliminated Ensemble Empirical Mode Decomposition for Bearing Fault Diagnosis
    Faysal, Atik
    Ngui, Wai Keng
    Lim, M. H.
    JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES, 2021, 9 (08) : 2229 - 2245
  • [22] Fault diagnosis of rolling bearing based on order cepstrum analysis and empirical mode decomposition
    Kang, Haiying
    Qi, Yanjie
    Wang, Hong
    Luan, Junying
    Zheng, Haiqi
    Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2009, 29 (01): : 60 - 65
  • [23] Fault diagnosis of rolling bearing based on empirical mode decomposition and higher order statistics
    Cai, Jian-hua
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2015, 229 (09) : 1630 - 1638
  • [24] Rolling bearing fault diagnosis based on empirical mode decomposition and support vector machine
    Xu K.
    Chen Z.-H.
    Zhang C.-B.
    Dong G.-Z.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2019, 36 (06): : 915 - 922
  • [25] A Frequency-Weighted Energy Operator and complementary ensemble empirical mode decomposition for bearing fault detection
    Imaouchen, Yacine
    Kedadouche, Mourad
    Alkama, Rezak
    Thomas, Marc
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 82 : 103 - 116
  • [26] An Automatic Fault Diagnosis Method for Aerospace Rolling Bearings Based on Ensemble Empirical Mode Decomposition
    Wang, Hong
    Liu, Hongxing
    Qing, Tao
    Liu, Wenyang
    He, Tian
    2017 8TH INTERNATIONAL CONFERENCE ON MECHANICAL AND AEROSPACE ENGINEERING (ICMAE), 2017, : 502 - 506
  • [27] Rolling Element Bearing Fault Diagnosis Based on Adaptive Local Iterative Filtering Decomposition and Teager–Kaiser Energy Operator
    Lei Zhao
    Yongxiang Zhang
    Danchen Zhu
    Journal of Failure Analysis and Prevention, 2019, 19 : 1018 - 1022
  • [28] Rolling bearing fault degree recognition based on ensemble empirical mode decomposition and support vector regression
    Shen, Changqing
    Hu, Fei
    Zhu, Zhongkui
    Kong, Fanrang
    MEASUREMENT TECHNOLOGY AND ENGINEERING RESEARCHES IN INDUSTRY, PTS 1-3, 2013, 333-335 : 550 - +
  • [29] Rolling bearing fault feature extraction method based on ensemble empirical mode decomposition and kurtosis criterion
    Hu, Aijun
    Ma, Wanli
    Tang, Guiji
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2012, 32 (11): : 106 - 111
  • [30] Rolling bearing fault diagnosis based on partially ensemble empirical mode decomposition and variable predictive model-based class discrimination
    Zheng, Jinde
    ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 2016, 16 (04) : 784 - 794